Haoxiao Chang

42 total papers · 584 total citations
34 papers, 414 citations indexed

About

Haoxiao Chang is a scholar working on Immunology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Haoxiao Chang has authored 34 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 15 papers in Pathology and Forensic Medicine and 13 papers in Neurology. Recurrent topics in Haoxiao Chang's work include Multiple Sclerosis Research Studies (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers) and Peripheral Neuropathies and Disorders (7 papers). Haoxiao Chang is often cited by papers focused on Multiple Sclerosis Research Studies (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers) and Peripheral Neuropathies and Disorders (7 papers). Haoxiao Chang collaborates with scholars based in China, Taiwan and Australia. Haoxiao Chang's co-authors include Linlin Yin, Xinghu Zhang, Li Du, Yuzhen Wei, Wangshu Xu, Huabing Wang, Xindi Li, Yupeng Wang, Jianghong Liu and Yupeng Wang and has published in prestigious journals such as Neuroscience, Frontiers in Immunology and Life Sciences.

In The Last Decade

Haoxiao Chang

31 papers receiving 410 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Haoxiao Chang	159	128	114	107	89	34	414
Laura Cubas-Núñez	126 0.8×	100 0.8×	69 0.6×	103 1.0×	39 0.4×	18	390
Toshiki Fujioka	75 0.5×	71 0.6×	178 1.6×	78 0.7×	93 1.0×	40	445
Manxia Wang	82 0.5×	153 1.2×	52 0.5×	94 0.9×	63 0.7×	52	431
Xiaomu Wu	50 0.3×	167 1.3×	53 0.5×	71 0.7×	77 0.9×	34	487
Chang-Sung Koh	133 0.8×	90 0.7×	55 0.5×	46 0.4×	218 2.4×	19	427
Jesse Huang	189 1.2×	153 1.2×	43 0.4×	63 0.6×	122 1.4×	19	469
Ф. А. Хабиров	165 1.0×	61 0.5×	71 0.6×	79 0.7×	108 1.2×	37	443
Hongzeng Li	77 0.5×	50 0.4×	155 1.4×	69 0.6×	76 0.9×	40	389
Miloš Kostić	159 1.0×	114 0.9×	34 0.3×	121 1.1×	137 1.5×	27	451
Sina C. Rosenkranz	166 1.0×	145 1.1×	51 0.4×	59 0.6×	59 0.7×	24	419

Countries citing papers authored by Haoxiao Chang

Since Specialization

Citations

This map shows the geographic impact of Haoxiao Chang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haoxiao Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoxiao Chang more than expected).

Fields of papers citing papers by Haoxiao Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haoxiao Chang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haoxiao Chang. The network helps show where Haoxiao Chang may publish in the future.

Co-authorship network of co-authors of Haoxiao Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Haoxiao Chang. A scholar is included among the top collaborators of Haoxiao Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haoxiao Chang. Haoxiao Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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